Daniel is a statistician with experience in the diagnostic, medical device, and biotech industries. He has a passion for all statistical methodologies including: Engineering Statistics, Design of Experiments, Statistical Process Control, Stability determination, Assay development, and many more. He enjoys training and consulting scientists, engineers, and other professionals to solve problems using data analysis. In that capacity, he has helped teams in product development, optimization, CAPA, bioassays, and other critical areas. He is very detail oriented and has contributed to ensuring compliance with FDA, ICH, and other industry standards . He has extensive experience using and teaching JMP (including JMP scripting), Minitab, and SAS statistical software packages.